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基于新食物分类法的巴西食物知识评估工具的改编与验证

Adaptation and validation of a tool for assessing food knowledge based on the Nova classification for the Brazilian context.

作者信息

Gabe Kamila Tiemann, Bassetto Junior Gilberto, Jaime Patricia Constante

机构信息

Universidade de São Paulo, Núcleo de Pesquisas Epidemiológicas em Nutrição e Saúde, São Paulo, SP, Brazil.

Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Nutrição, São Paulo, SP, Brazil.

出版信息

Epidemiol Serv Saude. 2025 May 2;34:e20240335. doi: 10.1590/S2237-96222024v34e20240335.en. eCollection 2025.

Abstract

OBJECTIVES

To adapt and validate a tool to measure the level of food knowledge based on the Nova classification for the Brazilian context.

METHODS

A tool developed by Canadian researchers was adapted for Brazil. In this tool, respondents assign healthiness scores to 12 images of foods with different levels of industrial processing according to the Nova classification - unprocessed and minimally processed, processed and ultra-processed. Total score is computed by comparing scores assigned to foods from different groups, and range from 0 to 8. The Brazilian version, named Nova-Conhecimento, was evaluated by experts and submitted to pre-tests with potential users. Discriminant validity was assessed by comparing scores of undergraduate students of nutrition and undergraduate students in education-related fields. Convergent validity was assessed by testing the association between the knowledge score and the consumption of ultra-processed foods in a subsample of the NutriNet Brazil cohort (n=1,245).

RESULTS

Nutrition students had higher scores than education students (6.7 vs. 5.3; p-value<0.001). Each point in the knowledge score was associated with a reduction of 1.03 percentage points in the contribution of ultra-processed foods to the diet (p-value<0.001).

CONCLUSION

The Nova-Conhecimento tool demonstrated validity and can contribute to food and nutritional surveillance activities based on the the Dietary Guidelines for the Brazilian Population.

摘要

目的

调整并验证一种基于新诺瓦分类法来衡量巴西背景下食物知识水平的工具。

方法

加拿大研究人员开发的一种工具被改编用于巴西。在该工具中,受访者根据新诺瓦分类法(未加工和最少加工、加工和超加工)对12张不同工业加工水平的食物图片给出健康评分。通过比较不同组食物的评分来计算总分,范围为0至8分。名为“新诺瓦 - 知识”的巴西版本由专家进行评估,并提交给潜在用户进行预测试。通过比较营养专业本科生和教育相关专业本科生的分数来评估区分效度。通过在巴西营养网队列的一个子样本(n = 1245)中测试知识得分与超加工食品消费之间的关联来评估聚合效度。

结果

营养专业学生的得分高于教育专业学生(6.7分对5.3分;p值<0.001)。知识得分每增加一分,超加工食品在饮食中的贡献就减少1.03个百分点(p值<0.001)。

结论

“新诺瓦 - 知识”工具显示出效度,可有助于基于巴西人群膳食指南的食品和营养监测活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbdd/12052328/97ebfb5ee785/2237-9622-ress-34-e20240335-f1-en.jpg

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